SA_N_SAM System analysis and modeling

Institute of Technology and Business in České Budějovice
SUMMER 2023
Extent and Intensity
2/4/0. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Tadeáš Říha (seminar tutor)
Guaranteed by
doc. RNDr. Zdeněk Dušek, Ph.D.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Timetable of Seminar Groups
SA_N_SAM/P01: Mon 8:00–9:30 D515, Mon 9:40–11:10 D515, T. Říha
SA_N_SAM/S01: Mon 11:25–12:55 D515, Tue 13:05–14:35 E4, T. Říha
Prerequisites (in Czech)
OBOR ( CAP )
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives supported by learning outcomes
The aim of the course is to acquaint students with the issues of more advanced optimization methods, game theory and models of mass service and methods that are applicable in logistics. The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Learning outcomes
The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Syllabus
  • 1. Game theory (basic concepts, pure strategies) 2. Single matrix games (mixed strategies, graphic method) 3. Single matrix games (mixed strategies, simplex method) 4. Two-matrix games, a system with non-transferable winnings 5. Two-matrix games, system with portable winnings 6. Oligopoly model 7. Theory of collective service (models of collective service) 8. Theory of collective service (optimization in models of collective service) 9. Inventory theory 10. Structural analysis (principle and model s.a.) 11. Structural analysis (distribution and value equations) 12. DEA (CCR, BCC) 13. DEA (efficiency evaluation)
Literature
    required literature
  • FAJMON, B. a J. KOLÁČEK, 2018. Pravděpodobnost, statistika a operační výzkum. [online]. [cit. 2018-05-06]. Dostupné z: http://www.rozhovor.cz/ma+fy/mpso.pdf.
  • ŠUBRT, T. a kol., 2015. Ekonomicko-matematické metody. 2 vyd. Plzeň: Aleš Čeněk. ISBN 978-80-7380-563-0.
  • DEMEL, J., 2018. Operační výzkum. [online]. [cit. 2018-05-06]. Dostupné z: https://kix.fsv.cvut.cz/~demel/ped/ov/ov110215.pdf.
    recommended literature
  • FÁBRY, J., 2011. Matematické modelování. Praha: Professional Publishing, ISBN 978-80-7431-066-9.
  • FRIEBELOVÁ, J. a J. KLICNAROVÁ, 2007. Rozhodovací modely pro ekonomy, 1. vydání. České Budějovice: Jihočeská univerzita v Českých Budějovicích. ISBN 978-80-7394-035-5.
  • ZIMOLA, B., 2000. Operační výzkum. Zlín: Fame. ISBN 80-214-1664-5.
  • JABLONSKÝ, J., 2002. Operační výzkum, 3. vyd. Praha: Professional Publishing. ISBN 978-80-8694-644-3.
  • PLEVNÝ M. a M. ŽIŽKA, 2010. Modelování a optimalizace v manažerském rozhodování. Plzeň: Vydavatelství Západočeské Univerzity. ISBN 978-80-7043-933-3.
  • RAIS K. a R. DOSKOČIL, 2006. Operační a systémová analýza I, Brno: Akademické nakladatelství CERM. ISBN 80-214-3280-2.
Forms of Teaching
Lecture
Seminar
Consultation
Teaching Methods
Frontal Teaching
Brainstorming
Critical Thinking
Individual Work– Individual or Individualized Activity
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test2626
Preparation for Seminars, Exercises, Tutorial2626
Preparation for the Final Test5252
Attendance on Lectures26 
Attendance on Seminars/Exercises/Tutorial/Excursion5278
Total:182182
Assessment Methods and Assesment Rate
Test – mid-term 30 %
Test – final 70 %
Exam conditions
test - continuous (30 b) test - final (70 b)
Language of instruction
Czech
Teacher's information
Attendance in lessons is defined in a separate internal standard of ITB (Evidence of attendance of students at ITB). It is compulsory, except of the lectures, for full-time students to attend 70 % lesson of the subjet in a semester.
  • Enrolment Statistics (recent)
  • Permalink: https://is.vstecb.cz/course/vste/summer2023/SA_N_SAM